EP3676704A4 - Method and system for predicting optimal number of threads for application running on electronic device - Google Patents
Method and system for predicting optimal number of threads for application running on electronic device Download PDFInfo
- Publication number
- EP3676704A4 EP3676704A4 EP18894561.2A EP18894561A EP3676704A4 EP 3676704 A4 EP3676704 A4 EP 3676704A4 EP 18894561 A EP18894561 A EP 18894561A EP 3676704 A4 EP3676704 A4 EP 3676704A4
- Authority
- EP
- European Patent Office
- Prior art keywords
- threads
- electronic device
- application running
- optimal number
- predicting optimal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/445—Program loading or initiating
- G06F9/44505—Configuring for program initiating, e.g. using registry, configuration files
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/445—Program loading or initiating
- G06F9/44568—Immediately runnable code
- G06F9/44578—Preparing or optimising for loading
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
- G06F9/4893—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues taking into account power or heat criteria
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
- G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
IN201741046612 | 2017-12-26 | ||
PCT/KR2018/015775 WO2019132330A1 (en) | 2017-12-26 | 2018-12-12 | Method and system for predicting optimal number of threads for application running on electronic device |
Publications (2)
Publication Number | Publication Date |
---|---|
EP3676704A1 EP3676704A1 (en) | 2020-07-08 |
EP3676704A4 true EP3676704A4 (en) | 2020-09-30 |
Family
ID=66950311
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP18894561.2A Pending EP3676704A4 (en) | 2017-12-26 | 2018-12-12 | Method and system for predicting optimal number of threads for application running on electronic device |
Country Status (4)
Country | Link |
---|---|
US (1) | US11347557B2 (en) |
EP (1) | EP3676704A4 (en) |
CN (1) | CN111542808B (en) |
WO (1) | WO2019132330A1 (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111324387A (en) * | 2020-01-20 | 2020-06-23 | 北京无限光场科技有限公司 | Application task control method, device, terminal and system |
KR20240038165A (en) * | 2020-08-21 | 2024-03-22 | 주식회사 딥엑스 | Electronic devices configured to perform inference operations |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2011025720A1 (en) * | 2009-08-28 | 2011-03-03 | Advanced Micro Devices, Inc. | Optimized thread scheduling via hardware performance monitoring |
US20120151494A1 (en) * | 2008-07-31 | 2012-06-14 | International Business Machines Corporation | Method for determining a number of threads to maximize utilization of a system |
Family Cites Families (26)
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US6182109B1 (en) * | 1996-03-08 | 2001-01-30 | International Business Machines Corporation | Dynamic execution unit management for high performance user level network server system |
US20020046230A1 (en) * | 1998-04-29 | 2002-04-18 | Daniel J. Dieterich | Method for scheduling thread execution on a limited number of operating system threads |
US6182210B1 (en) * | 1997-12-16 | 2001-01-30 | Intel Corporation | Processor having multiple program counters and trace buffers outside an execution pipeline |
US6477561B1 (en) * | 1998-06-11 | 2002-11-05 | Microsoft Corporation | Thread optimization |
US7137117B2 (en) * | 2000-06-02 | 2006-11-14 | Microsoft Corporation | Dynamically variable idle time thread scheduling |
US7363626B2 (en) * | 2003-03-24 | 2008-04-22 | Sun Microsystems, Inc. | Thread level application partitioning |
US7363369B2 (en) * | 2003-10-16 | 2008-04-22 | International Business Machines Corporation | Monitoring thread usage to dynamically control a thread pool |
CN101091164A (en) * | 2004-05-20 | 2007-12-19 | Bea系统公司 | System and method for application server with self-tuned threading model |
US7681196B2 (en) * | 2004-11-18 | 2010-03-16 | Oracle International Corporation | Providing optimal number of threads to applications performing multi-tasking using threads |
US8413151B1 (en) * | 2007-12-19 | 2013-04-02 | Nvidia Corporation | Selective thread spawning within a multi-threaded processing system |
US8954977B2 (en) * | 2008-12-09 | 2015-02-10 | Intel Corporation | Software-based thread remapping for power savings |
US8881157B2 (en) * | 2009-09-11 | 2014-11-04 | Empire Technology Development Llc | Allocating threads to cores based on threads falling behind thread completion target deadline |
US9594599B1 (en) * | 2009-10-14 | 2017-03-14 | Nvidia Corporation | Method and system for distributing work batches to processing units based on a number of enabled streaming multiprocessors |
KR20110089649A (en) * | 2010-02-01 | 2011-08-09 | 삼성전자주식회사 | Apparatus for parallel computing and the method thereof |
JP5772948B2 (en) * | 2011-03-17 | 2015-09-02 | 富士通株式会社 | System and scheduling method |
US9043788B2 (en) * | 2012-08-10 | 2015-05-26 | Concurix Corporation | Experiment manager for manycore systems |
CN103294550B (en) * | 2013-05-29 | 2016-08-10 | 中国科学院计算技术研究所 | A kind of heterogeneous polynuclear thread scheduling method, system and heterogeneous multi-nucleus processor |
US9563474B2 (en) * | 2013-06-13 | 2017-02-07 | Wipro Limited | Methods for managing threads within an application and devices thereof |
US9342374B2 (en) * | 2013-06-28 | 2016-05-17 | Dell Products, L.P. | Method of scheduling threads for execution on multiple processors within an information handling system |
US20160077871A1 (en) * | 2014-09-17 | 2016-03-17 | Advanced Micro Devices, Inc. | Predictive management of heterogeneous processing systems |
US9424092B2 (en) * | 2014-09-26 | 2016-08-23 | Microsoft Technology Licensing, Llc | Heterogeneous thread scheduling |
US10234930B2 (en) * | 2015-02-13 | 2019-03-19 | Intel Corporation | Performing power management in a multicore processor |
CN104657219B (en) * | 2015-02-27 | 2017-10-20 | 西安交通大学 | A kind of application program threads number dynamic adjusting method being used under isomery many-core system |
KR102384345B1 (en) * | 2015-05-15 | 2022-04-19 | 삼성전자 주식회사 | Method and processor for implementing thread and recording medium thereof |
US10146583B2 (en) * | 2016-08-11 | 2018-12-04 | Samsung Electronics Co., Ltd. | System and method for dynamically managing compute and I/O resources in data processing systems |
US10871989B2 (en) * | 2018-10-18 | 2020-12-22 | Oracle International Corporation | Selecting threads for concurrent processing of data |
-
2018
- 2018-12-12 WO PCT/KR2018/015775 patent/WO2019132330A1/en unknown
- 2018-12-12 CN CN201880081436.4A patent/CN111542808B/en active Active
- 2018-12-12 EP EP18894561.2A patent/EP3676704A4/en active Pending
- 2018-12-19 US US16/225,595 patent/US11347557B2/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120151494A1 (en) * | 2008-07-31 | 2012-06-14 | International Business Machines Corporation | Method for determining a number of threads to maximize utilization of a system |
WO2011025720A1 (en) * | 2009-08-28 | 2011-03-03 | Advanced Micro Devices, Inc. | Optimized thread scheduling via hardware performance monitoring |
Non-Patent Citations (2)
Title |
---|
See also references of WO2019132330A1 * |
TARVO ALEXANDER ET AL: "Automatic performance prediction of multithreaded programs: a simulation approach", AUTOMATED SOFTWARE ENGINEERING, SPRINGER US, BOSTON, vol. 25, no. 1, 28 March 2017 (2017-03-28), pages 101 - 155, XP036402532, ISSN: 0928-8910, [retrieved on 20170328], DOI: 10.1007/S10515-017-0214-5 * |
Also Published As
Publication number | Publication date |
---|---|
CN111542808A (en) | 2020-08-14 |
US20190196874A1 (en) | 2019-06-27 |
US11347557B2 (en) | 2022-05-31 |
CN111542808B (en) | 2024-03-22 |
EP3676704A1 (en) | 2020-07-08 |
WO2019132330A1 (en) | 2019-07-04 |
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A4 | Supplementary search report drawn up and despatched |
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